1999
DOI: 10.1109/4235.788491
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A circuit representation technique for automated circuit design

Abstract: We present a method of automatically generating circuit designs using evolutionary search and a set of circuit-constructing primitives arranged in a linear sequence. This representation has the desirable property that virtually all sets of circuit-constructing primitives result in valid circuit graphs. While this representation excludes certain circuit topologies, it is capable of generating a rich set of them including many of the useful topologies seen in hand-designed circuits. Our system allows circuit siz… Show more

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Cited by 168 publications
(113 citation statements)
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“…Lohn et al [LC99] thus represent a circuit as a set of chronologically executed operations, which finally construct a circuit. This approach is quite similar to what has been done by Ando et al [AII03], but is here explicitly named as variable length chromosome.…”
Section: State-of-the-art In Analog Synthesismentioning
confidence: 99%
“…Lohn et al [LC99] thus represent a circuit as a set of chronologically executed operations, which finally construct a circuit. This approach is quite similar to what has been done by Ando et al [AII03], but is here explicitly named as variable length chromosome.…”
Section: State-of-the-art In Analog Synthesismentioning
confidence: 99%
“…However, they did not specifically work on evolving robust circuits. Lohn and Colombano [15] proposed a linear representation approach to evolve analog circuits in which several lowpass filters were used as test problems. In another work, by Goh and Li [42], a genetic algorithm with a linear direct encoding approach is used to evolve lowpass and bandpass analog filters.…”
Section: Related Workmentioning
confidence: 99%
“…For each synthesis problem, three experiments are conducted: (a) evolutionary synthesis using GP without considering robustness criteria, (b) improvement in robustness of these evolved filters by tuning their parameters using a genetic algorithm (GA), and (c) evolution of robust filters (topological structure and parameters) using GP with a robustness criterion in the fitness function. These filter design problems are selected as they are perhaps the most popular problems in evolutionary synthesis research by either GA or GP [13][14][15].…”
Section: Introductionmentioning
confidence: 99%
“…and Filter Design [15] GA A CD T/R/L/C Custom OFL Off-chip S Analog Circuit Synthesis [12] GP A CD R/L/C Custom OFL Off-chip S Character Recognition [31] GA D CD Gate Comm. OFL Off-chip S Clock Adjustment [27] GA D CT Gate Custom ONL Off-chip S Digital Filter Design [16] GA D CD Gate -OFL Off-chip S Gene Finding [39] GA D CD Gate Comm.…”
Section: Technology (Te) Technology For the Target Ehwmentioning
confidence: 99%